Triple

T19270041
Position Surface form Disambiguated ID Type / Status
Subject Pentawer E481896 entity
Predicate scholarlyUncertainty P9983 FINISHED
Object exact identity of his mummy is debated LITERAL FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: exact identity of his mummy is debated | Statement: [Pentawer, scholarlyUncertainty, exact identity of his mummy is debated]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: scholarlyUncertainty
Context triple: [Pentawer, scholarlyUncertainty, exact identity of his mummy is debated]
  • A. scholarlyView
    Indicates that one entity holds an academic or research-based interpretation, opinion, or theoretical stance about another entity.
  • B. uncertainty chosen
    Indicates that there is doubt, lack of sureness, or incomplete confidence about a fact, outcome, or state of affairs in the relationship or situation described.
  • C. scholarlyMilieu
    Indicates the intellectual or academic environment, context, or community within which a scholarly work, activity, or figure is situated.
  • D. scholarlyEmphasis
    Indicates a relationship where an entity focuses its academic attention, research, or analysis predominantly on a particular subject, theme, or area of study.
  • E. scholarlyUse
    Indicates that something is used for academic, educational, or research-related purposes.
  • F. None of above.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d8e8ce54cc8190998418ff1f66ef28 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fbb74ec48190a58d96b4b5b9af00 completed April 20, 2026, 10:11 a.m.
PD Predicate disambiguation batch_69e4dd07a7208190afcd51ba1dc87c33 completed April 19, 2026, 1:47 p.m.
Created at: April 10, 2026, 1:29 p.m.